kahramankostas/CNN-based-IoT-Device-Identification
Multi-class classification via CNN using fingerprints extracted from IoT devices captures data.
This project helps security analysts and network administrators identify specific IoT devices connected to a network, which is crucial for maintaining network security. By taking raw network traffic data (PCAP files) from IoT devices, it analyzes unique 'fingerprints' and determines the exact type of device. The output is a classification that tells you which IoT device it is, helping you spot unauthorized or vulnerable devices.
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Use this if you need to precisely identify different IoT devices on your network using their communication patterns to enhance security.
Not ideal if you're looking for a simple plug-and-play solution for general network monitoring without deep device-level identification.
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Apr 28, 2023
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